Re: Generalized Linear Models and Stochastic Gradient Descent in D

2017-06-11 Thread 9il via Digitalmars-d-announce
On Sunday, 11 June 2017 at 12:04:36 UTC, data pulverizer wrote: On Sunday, 11 June 2017 at 01:59:37 UTC, 9il wrote: Why not to use ndslice and Lubeck [1] libraries instead? [1] https://github.com/kaleidicassociates/lubeck Ilya It is already has hight level ndslice interface for inv (inverse

Re: Generalized Linear Models and Stochastic Gradient Descent in D

2017-06-11 Thread Ilya via Digitalmars-d-announce
On Sunday, 11 June 2017 at 13:36:09 UTC, jmh530 wrote: On Sunday, 11 June 2017 at 12:36:19 UTC, 9il wrote: I ported few large complex Matlab scripts using Lubeck and Mir-Algorithm (closed source). It works perfectly and results are the same as Matlab original! All functions from Lubeck was us

Re: Generalized Linear Models and Stochastic Gradient Descent in D

2017-06-11 Thread jmh530 via Digitalmars-d-announce
On Sunday, 11 June 2017 at 12:36:19 UTC, 9il wrote: I ported few large complex Matlab scripts using Lubeck and Mir-Algorithm (closed source). It works perfectly and results are the same as Matlab original! All functions from Lubeck was used in this work. Mir Algorithm has over then 2K download

There is a new test runner in town

2017-06-11 Thread Szabo Bogdan via Digitalmars-d-announce
I'm pleased to announce the first release of `trial`. Trial is a test runner that aims for flexibility. I made this runner because I could not find a flexible test runner for D, to extend it with various features, like reporters and test discoveries. This runner extends `dub test` command and

Re: Generalized Linear Models and Stochastic Gradient Descent in D

2017-06-11 Thread 9il via Digitalmars-d-announce
On Sunday, 11 June 2017 at 11:10:38 UTC, data pulverizer wrote: On Sunday, 11 June 2017 at 01:57:52 UTC, 9il wrote: [...] You are right - I realised this as I was writing the script but I address this point later ... [...] Thank you for mentioning the Lubeck package, I did not know abou

Re: Generalized Linear Models and Stochastic Gradient Descent in D

2017-06-11 Thread data pulverizer via Digitalmars-d-announce
On Sunday, 11 June 2017 at 11:30:03 UTC, Nicholas Wilson wrote: An additional takeaway for me was that I also found the use of array operations like a[] = b[]*c[] or d[] -= e[] -f created odd effects in my calculations the outputs were wrong and for ages I didn't know why but later ended up

Re: Generalized Linear Models and Stochastic Gradient Descent in D

2017-06-11 Thread data pulverizer via Digitalmars-d-announce
On Sunday, 11 June 2017 at 01:59:37 UTC, 9il wrote: Why not to use ndslice and Lubeck [1] libraries instead? [1] https://github.com/kaleidicassociates/lubeck Ilya It is already has hight level ndslice interface for inv (inverse) and mtimes (matmul). p.p.s Okay, I can see how writing an art

Re: Generalized Linear Models and Stochastic Gradient Descent in D

2017-06-11 Thread Nicholas Wilson via Digitalmars-d-announce
On Sunday, 11 June 2017 at 10:21:03 UTC, data pulverizer wrote: Speaking of not losing your audience: give a link to the NRA and/or a brief explanation of how it generalises to higher dimensions (graph or animation for the 2D case would be good, perhaps take something from wikipedia) NRA? Don

Re: Generalized Linear Models and Stochastic Gradient Descent in D

2017-06-11 Thread data pulverizer via Digitalmars-d-announce
On Sunday, 11 June 2017 at 01:59:37 UTC, 9il wrote: Why not to use ndslice and Lubeck [1] libraries instead? [1] https://github.com/kaleidicassociates/lubeck Ilya It is already has hight level ndslice interface for inv (inverse) and mtimes (matmul). p.s. I think the work you guys are doing

Re: Generalized Linear Models and Stochastic Gradient Descent in D

2017-06-11 Thread data pulverizer via Digitalmars-d-announce
On Sunday, 11 June 2017 at 01:57:52 UTC, 9il wrote: The code has huge number of allocations. For example, T[][] matrixes are and then concatenated to be used in BLAS. You are right - I realised this as I was writing the script but I address this point later ... Why not to use ndslice and Lu

Re: Generalized Linear Models and Stochastic Gradient Descent in D

2017-06-11 Thread data pulverizer via Digitalmars-d-announce
It is obvious that you took time and care to review the article. Thank you very much! On Sunday, 11 June 2017 at 00:40:23 UTC, Nicholas Wilson wrote: Maybe its the default rendering but the open math font is hard to read as the sub scripts get vertically compressed. My suggestions: Disting

Re: D for Android beta

2017-06-11 Thread Joakim via Digitalmars-d-announce
On Sunday, 11 June 2017 at 04:15:13 UTC, Joakim wrote: On Thursday, 1 June 2017 at 19:31:28 UTC, Joakim wrote: [...] ---snip--- [...] I've now put up a deb file at the first release link above that you can install in the Termux app, the result of this PR to get ldc into the Termux package